Researchers from Concordia University Report Details of New Studies and Findings in the Area of Machine Learning (Prediction of Selfconsolidating Concrete Prop erties Using Xgboost Machine Learning Algorithm: Rheological Properties)

Robotics & Machine Learning Daily News2024，Issue(MAY.23) ：51-51.

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Researchers from Concordia University Report Details of New Studies and Findings in the Area of Machine Learning (Prediction of Selfconsolidating Concrete Prop erties Using Xgboost Machine Learning Algorithm: Rheological Properties)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Investigators discuss new findings in Machine Lea rning. According to news originating from Montreal, Canada, by NewsRx correspond ents, research stated, “Rheological properties are critical for assessing self-c onsolidating concrete (SCC)’s performance and application. However, predicting t hese properties accurately, specifically plastic viscosity and yield stress, fac es challenges due to inconsistent data, small sample sizes, and measurement inac curacies, with the type of rheometer significantly impacting results.”

Key words

Montreal/Canada/North and Central Amer ica/Algorithms/Cyborgs/Emerging Technologies/Machine Learning/Concordia Uni versity

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出版年

2024

Robotics & Machine Learning Daily News

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